Explore the intersection of chaos engineering and generative AI in this conference talk from Conf42 Chaos Engineering 2024. Delve into the complexities of modern enterprises and the limitations of traditional testing methods. Discover how chaos engineering methodologies can be enhanced through the application of generative AI, including comprehensive frameworks and practical examples using architecture diagrams and auto-generated service maps. Learn about dependency analysis, steady state definition, hypothesis creation, experiment design, and blast radius determination. Examine the Rumsfeld matrix to understand known knowns, known unknowns, and unknown unknowns in the context of smart chaos. Gain insights into automating the entire chaos engineering workflow, setting targets and states, and implementing best practices while avoiding potential pitfalls in leveraging generative AI for more effective chaos engineering strategies.
Smart Chaos: Leveraging Generative AI for Enhanced Chaos Engineering
Overview
Syllabus
intro
preamble
agenda
modern enterprise are complex and increasingly hard to manage
next major outage - when?
why traditional testing falls short?
why chaos engineering
what is genai generative ai
application of genai
chaos engineering - "methodology"
enhancing chaos engineering with generative ai: a comprehensive framework
generative ai in action: illuminating possibilities via architecture diagrams
dependency analysis
steady state defining
hypothesis creation
experiment design
blast radius defining
generative ai in action: illuminating possibilities via auto generated service maps
the rumsfeld matrix - "known knowns, known unknowns, and unknown unknowns"
- known known
- known unknown
- automating entire chaos engineering workflow
- target and state
best practice and potential pitfalls
Taught by
Conf42
